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Fix Hyper-Parameter optimization get_top_experiments() order

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allegroai 2020-07-02 01:25:55 +03:00
parent 59b78b288e
commit 6129e09b50
1 changed files with 4 additions and 2 deletions
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6
trains/automation/optimization.py
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@ -174,7 +174,7 @@ class Objective(object):
series = hashlib.md5(str(self.series).encode('utf-8')).hexdigest()
self._metric = title, series
return '{}last_metrics.{}.{}.{}'.format(
'-' if self.sign < 0 else '', self._metric[0], self._metric[1],
'-' if self.sign > 0 else '', self._metric[0], self._metric[1],
('min_value' if self.sign < 0 else 'max_value') if self.extremum else 'value')
@ -1316,7 +1316,9 @@ class HyperParameterOptimizer(object):
df = pd.DataFrame(table, index=index)
df.sort_values(by='objective', ascending=bool(self.objective_metric.sign < 0), inplace=True)
df.index.name = 'task id'
task_logger.report_table("summary", "job", 0, table_plot=df)
task_logger.report_table(
"summary", "job", 0, table_plot=df,
extra_layout={"title": "objective: {}".format(title)})
# if we should leave, stop everything now.
if timeout < 0: